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Create your first API with Flask (or mock it using Mockoon!)

Learn how to create your first REST API and endpoints with Python's Flask microframework or mock it using Mockoon to accelerate your application development

In this guide, you will learn how to create a basic REST API using Flask microframework for Python. Flask is one of the most popular and easy-to-use Python libraries for API creation.

Creating an API using this library is easy, straightforward, and only requires the following basic steps.

 1. Initialize your new Python application

To create a simple API using Flask, we first need to verify that Python and pip are installed by running the following commands:

$ python --version Python 3.10.4
$ pip --version pip 22.0.4 from /usr/lib/python3/dist-packages/pip (python 3.10)

Go to Python's website to install Python and pip if one of the above commands is unsuccessful.

After verifying that Python and pip are installed, you can install flask by running the following command:

$ pip install flask Collecting flask ... Successfully installed Jinja2-3.1.1 MarkupSafe-2.1.1 Werkzeug-2.1.1 click-8.1.2 colorama-0.4.4 flask-2.1.1 itsdangerous-2.1.2

 2. Create a Flask web server

Before coding our Flask server, we first need to create a new python file. Let's name it and create it in a new folder of your choice.

In this file, we need to import the Flask class from the Flask library by using Python's import command:

from flask import Flask

It will allow us to instantiate and run a web server instance.

We can now instantiate a new webserver instance by using the Flask class we previously imported, and pass the current module name:

from flask import Flask app = Flask(__name__);

 3. Add API routes and return JSON data

We are now ready to add API routes to our webserver by using Flask's route() decorator with a path and a list of HTTP methods or verbs (GET, PUT, POST, etc.) as parameters:

from flask import Flask app = Flask(__name__); @app.route('/users', methods=['GET']) def get_users(): return 'Get users' @app.route('/users', methods=['DELETE']) def delete_user(): return 'Delete a user'

This code will enable calls to the /users API route for both the GET and DELETE methods.

To return JSON data, we will need to import jsonify, a function from Flask that can convert lists and dictionaries to JSON and send it in the response together with the correct Content-Type header (application/json):

from flask import Flask, jsonify app = Flask(__name__); @app.route('/users', methods=['GET']) def get_users(): return jsonify([ {'id': 546, 'username': 'John'}, {'id': 894, 'username': 'Mary'}, {'id': 326, 'username': 'Jane'} ]) @app.route('/users', methods=['DELETE']) def delete_user(): return jsonify({'result': 'success'})

Of course, this code is quite basic, and the two routes we created should probably load the list of users and delete users from a database before returning a result. But this is out of the scope of this small tutorial.

 4. Run your API web server

One last line of code is required for our code to run the webserver:

Calling Flask instance run() function will run the webserver and listen on the default port 5000.

Here is the final code after putting everything together:

from flask import Flask, jsonify app = Flask(__name__); @app.route('/users', methods=['GET']) def get_users(): return jsonify([ {'id': 546, 'username': 'John'}, {'id': 894, 'username': 'Mary'}, {'id': 326, 'username': 'Jane'} ]) @app.route('/users', methods=['DELETE']) def delete_user(): return jsonify({'result': 'success'})

You can now run your server with the following command:


Your API is available on http://localhost:5000. You can do a test call to the following API endpoints GET /users and DELETE /users using your favorite tool (here, Insomnia) and see the returned response:

Get users call response preview

Delete users call response preview

 Speed up development with API mocking

Working with an API can be challenging. It could be unavailable for various reasons: the whole API is under development, some routes are missing, the documentation is outdated, the access is restricted to the production environment or behind a firewall, etc.

Instead of waiting for the API to be ready to be able to consume it, you could mock it using an API mocking tool like Mockoon.

API mocking is a technique that consists in imitating an unavailable API by simulating the endpoints and their responses. With this technique, you can have a running mock in no time and start calling it right away from your front-end or back-end application.

Mocking an API with Mockoon is easy and requires only some small steps to start working.

API mocking with MockoonAPI mocking with Mockoon